Computer Vision Applications in Industry

# Computer Vision Applications in Industry Computer vision is transforming industries. Here are practical applications I've worked on and studied. ## Manufacturing ### Quality Control Automated defect detection on production lines: - Surface defect detection - Dimensional accuracy - Assembly verification ### Benefits - 24/7 operation - Consistent quality - Reduced labor costs - Data collection ## Retail ### Customer Analytics - Foot traffic analysis - Heat maps - Queue detection ### Inventory Management - Shelf monitoring - Stock level detection - Planogram compliance ## Healthcare ### Medical Imaging - X-ray analysis - MRI interpretation - Pathology slides ### Challenges - Regulatory compliance - Data privacy - Model interpretability ## Autonomous Vehicles ### Perception - Object detection - Lane detection - Pedestrian recognition ### Challenges - Edge cases - Sensor fusion - Real-time processing ## Implementation Considerations ### Data Collection Quality data is crucial: - Representative samples - Diverse conditions - Proper labeling ### Edge vs Cloud - Edge: Low latency, offline capability - Cloud: More compute, easier updates ### Model Selection Balance accuracy and speed for your use case. ## Conclusion Computer vision is mature enough for production. Start with clear problem definition and quality data.